Lin Zhang

The paper evaluates the impact of sample overlap in GWAS meta-analysis across different significance thresholds and shows minimal impact when overlap is small.

The paper introduces effect size-based methods to rank transcription factor binding motifs, showing they outperform p-value rankings under heterogeneous sample sizes.

The paper proposes a joint statistical test that integrates association evidence with Hardy-Weinberg disequilibrium differences between case and control groups to improve detection of disease susceptibility loci.

The paper establishes analytical connections between different genetic association tests for population- and family-based studies, helping practitioners choose appropriate tests.

This paper introduces a generalized robust allele-based genetic association test that accounts for HWE violations, continuous traits, covariates, and sample correlation, and shows it encompasses classical allelic tests as a special case.

The paper proposes a unifying reverse regression framework for genetic association studies and allele frequency estimation, showing its ability to adjust for Hardy-Weinberg equilibrium and connect with existing allele-frequency estimators.